Tensor Network Generator-Enhanced Optimization for Traveling Salesman Problem

Tensor Network Generator-Enhanced Optimization for Traveling Salesman Problem

• Computer Science > Machine Learning [Submitted on 12 Feb 2026] Title:Tensor Network Generator-Enhanced Optimization for Traveling Salesman Problem View PDF HTML (experimental)Abs

Research & Labs · February 25, 2026 (updated February 25, 2026) · 2 min · 280 words
World-first: Quantum-inspired optimization computer installed on mobile robot

World-first: Quantum-inspired optimization computer installed on mobile robot

• World-first: Quantum-inspired optimization computer installed on mobile robot FPGA-powered robot avoided moving objects in real time, predicting paths to improve safe and efficie

A Risk-Aware UAV-Edge Service Framework for Wildfire Monitoring and Emergency Response

A Risk-Aware UAV-Edge Service Framework for Wildfire Monitoring and Emergency Response

• Integrated UAV‑edge framework co‑optimizes route, fleet size, and edge service for wildfire monitoring. • Fire‑history‑weighted clustering prioritizes high‑risk zones, improving

Automatic Network Planning with Digital Radio Twin

Automatic Network Planning with Digital Radio Twin

• AutoPlan automates cellular base‑station planning by integrating a digital radio twin (DRT) model. • DRT parameters are fine‑tuned using crowdsourced real‑world user data to shri

Complex Event Processing in the Edge: A Combined Optimization Approach for Data and Code Placement

Complex Event Processing in the Edge: A Combined Optimization Approach for Data and Code Placement

• Edge IoT devices face limited hardware, demanding efficient CEP solutions. • Study balances execution costs across CEP task graph paths via constrained programming. • Python libr

Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System

Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System

• GEARS reframes ranking optimization as autonomous discovery in programmable experimentation. • Uses Specialized Agent Skills to embed ranking expert knowledge into reusable reaso

Research & Labs · February 24, 2026 (updated February 24, 2026) · 1 min · 174 words
Stop Picking Sides: Manage the Tension Between Adaptation and Optimization

Stop Picking Sides: Manage the Tension Between Adaptation and Optimization

• Stop Picking Sides Manage the Tension Between Adaptation and Optimization Many teams have turned into tribes wedded to exclusively adaptation or optimization. • But this misses t

Smarter ECOs: Inside Easy-Logic's ASIC Optimization Engine

Smarter ECOs: Inside Easy-Logic's ASIC Optimization Engine

• Easy-Logic Technology Ltd.is a specialized Electronic Design Automation (EDA) company focused on solving one of the most complex and time-sensitive challenges in semiconductor de

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization

• Computer Science > Machine Learning [Submitted on 4 Feb 2026] Title:Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Opt

Research & Labs · February 23, 2026 (updated February 24, 2026) · 2 min · 247 words
Stop Picking Sides: Manage the Tension Between Adaptation and Optimization

Stop Picking Sides: Manage the Tension Between Adaptation and Optimization

• Stop Picking Sides Manage the Tension Between Adaptation and Optimization Many teams have turned into tribes wedded to exclusively adaptation or optimization. • But this misses t

Performance Optimization [SUBSCRIBER]

• Take your app to the next level! • This module will equip you with advanced techniques to optimize your network calls, threading, and memory management, resulting in a faster and

Mobile Development · February 22, 2026 (updated February 24, 2026) · 1 min · 134 words
Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity

Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity

• Introduces Ringleader ASGD, the first asynchronous SGD achieving optimal time complexity under data heterogeneity. • Eliminates unrealistic similarity assumptions across workers'

Visual Insights into Agentic Optimization of Pervasive Stream Processing Services

Visual Insights into Agentic Optimization of Pervasive Stream Processing Services

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 19 Feb 2026] Title:Visual Insights into Agentic Optimization of Pervasive Stream Processing Services

Collaborative Safe Bayesian Optimization

Collaborative Safe Bayesian Optimization

• Electrical Engineering and Systems Science > Systems and Control [Submitted on 18 Feb 2026] Title:Collaborative Safe Bayesian Optimization View PDF HTML (experimental)Abstract:Mo

Optimization Instability in Autonomous Agentic Workflows for Clinical Symptom Detection

Optimization Instability in Autonomous Agentic Workflows for Clinical Symptom Detection

• Computer Science > Artificial Intelligence [Submitted on 17 Feb 2026] Title:Optimization Instability in Autonomous Agentic Workflows for Clinical Symptom Detection View PDF HTML

Research · February 19, 2026 (updated February 19, 2026) · 2 min · 271 words
Optimization Instability in Autonomous Agentic Workflows for Clinical Symptom Detection

Optimization Instability in Autonomous Agentic Workflows for Clinical Symptom Detection

• Computer Science > Artificial Intelligence [Submitted on 17 Feb 2026] Title:Optimization Instability in Autonomous Agentic Workflows for Clinical Symptom Detection View PDF HTML

Research & Labs · February 19, 2026 (updated February 24, 2026) · 2 min · 340 words
Preference Optimization for Review Question Generation Improves Writing Quality

Preference Optimization for Review Question Generation Improves Writing Quality

• Computer Science > Computation and Language [Submitted on 23 Jan 2026] Title:Preference Optimization for Review Question Generation Improves Writing Quality View PDF HTML (experi

Research & Labs · February 19, 2026 (updated February 24, 2026) · 2 min · 309 words
Refined Bayesian Optimization for Efficient Beam Alignment in Intelligent Indoor Wireless Environments

Refined Bayesian Optimization for Efficient Beam Alignment in Intelligent Indoor Wireless Environments

• Computer Science > Networking and Internet Architecture [Submitted on 12 Nov 2025 (v1), last revised 17 Feb 2026 (this version, v2)] Title:Refined Bayesian Optimization for Effic

Scalable Base Station Configuration via Bayesian Optimization with Block Coordinate Descent

Scalable Base Station Configuration via Bayesian Optimization with Block Coordinate Descent

• Computer Science > Information Theory [Submitted on 18 Feb 2026] Title:Scalable Base Station Configuration via Bayesian Optimization with Block Coordinate Descent View PDF HTML (

TurboADMM: A Structure-Exploiting Parallel Solver for Multi-Agent Trajectory Optimization

TurboADMM: A Structure-Exploiting Parallel Solver for Multi-Agent Trajectory Optimization

• Computer Science > Robotics [Submitted on 14 Jan 2026] Title:TurboADMM: A Structure-Exploiting Parallel Solver for Multi-Agent Trajectory Optimization View PDF HTML (experimental

Research & Labs · February 19, 2026 (updated February 24, 2026) · 2 min · 294 words
Predictive Optimization at Scale: A Year of Innovation and What's Next

Predictive Optimization at Scale: A Year of Innovation and What's Next

• Share this post Keep up with us Summary Predictive Optimization now runs by default for new Unity Catalog managed tables and operates at massive scaleNew capabilities in 2025 del

How llm-d brings critical resource optimization with SoftBank's AI-RAN orchestrator

How llm-d brings critical resource optimization with SoftBank's AI-RAN orchestrator

• How llm-d brings critical resource optimization with SoftBank’s AI-RAN orchestrator Share As the technical reality of AI-RAN comes into focus, many telecommunication service prov

[SCEV] question about inferring nsw flags

[SCEV] question about inferring nsw flags

• SCEV struggles to infer nsw flags for AddRec subscripts in conditional stores. • Example loop uses i to index array with conditions. • Current SCEV cannot deduce overflow behavio

Language Internals · February 17, 2026 (updated February 24, 2026) · 1 min · 177 words
Where to start fixing an opt-pass for MIPS1

Where to start fixing an opt-pass for MIPS1

• MIPS1 load delay slots ignored when load occurs in branch delay slot. • Issue originates in CodeGen Prepareopt pass during optimization of MIPS1 code. • Developer seeks to fix ra

Language Internals · February 17, 2026 (updated February 24, 2026) · 1 min · 186 words
Side effects and mayLoad/mayStore in MachineIR

Side effects and mayLoad/mayStore in MachineIR

• MachineScheduler blocks reordering of side-effecting instructions with loads/stores via a barrier chain. • MachineSink can still sink a ds_load across a workgroup fence, raising

Language Internals · February 17, 2026 (updated February 24, 2026) · 1 min · 177 words
Why SaaS cost optimization is an operating model problem, not a budget exercise

Why SaaS cost optimization is an operating model problem, not a budget exercise

• Cutting SaaS licenses may save money fast, but without clear ownership and process, you’ll just trade spend for chaos. • Credit: wutzkohphoto / Shutterstock When I was brought in

Intelligence as Trajectory-Dominant Pareto Optimization

Intelligence as Trajectory-Dominant Pareto Optimization

• Computer Science > Artificial Intelligence [Submitted on 28 Jan 2026] Title:Intelligence as Trajectory-Dominant Pareto Optimization View PDF HTML (experimental)Abstract:Despite r

Research · February 17, 2026 (updated February 19, 2026) · 2 min · 255 words
Intelligence as Trajectory-Dominant Pareto Optimization

Intelligence as Trajectory-Dominant Pareto Optimization

• Computer Science > Artificial Intelligence [Submitted on 28 Jan 2026] Title:Intelligence as Trajectory-Dominant Pareto Optimization View PDF HTML (experimental)Abstract:Despite r

Research & Labs · February 17, 2026 (updated February 24, 2026) · 2 min · 255 words
How Automated Prompt Optimization Unlocks Quality Gains for ML Kit's GenAI Prompt API

How Automated Prompt Optimization Unlocks Quality Gains for ML Kit's GenAI Prompt API

• 28 January 2026 How Automated Prompt Optimization Unlocks Quality Gains for ML Kit’s GenAI Prompt API Posted by Chetan Tekur, PM at AI Innovation and Research, Chao Zhao, SWE at

Mobile Development · January 28, 2026 (updated February 24, 2026) · 2 min · 279 words
A crowdsourced repository for optimization constants?

A crowdsourced repository for optimization constants?

• Thomas Bloom’s Erdös problem site now thrives with AI‑assisted solutions. • Human, AI, and hybrid contributions are discussed and approved as updates. • A curated problem databas

Mathematics · January 23, 2026 (updated February 24, 2026) · 1 min · 186 words
OptiMind: A small language model with optimization expertise

OptiMind: A small language model with optimization expertise

• At a glance Many real-world business problems can benefit from optimization, but translating decisions, constraints, and goals from natural language into optimization algorithms

Know before you go - AWS re:Invent 2025 guide to Well-Architected and Cloud Optimization sessions

Know before you go - AWS re:Invent 2025 guide to Well-Architected and Cloud Optimization sessions

• AWS Architecture Blog Know before you go - AWS re:Invent 2025 guide to Well-Architected and Cloud Optimization sessions Are you ready to maximize your Well-Architected and Cloud